University of Birmingham - National Institute for Health Research (NIHR) Research Methods Fellowships (x3 posts)
Location: University of Birmingham
Salary: £25,769 to £28,143
Hours: Full Time or Part Time (66% full time equivalent)
Contract: Contract / Temporary
Closes: 10th July 2016
Interviews will be held between 25th and 27th July 2016
The University of Birmingham
is delighted to offer three highly regarded National Institute for Health Research funded Research Methods Fellowships; two related to systematic reviews (posts 55512 and 55532) and one related
to medical statistics (55511). The posts are aimed at those interested in developing a career in these areas. All three posts offer excellent opportunities to obtain training and experience and they are specifically funded to address unmet demand for highly
skilled individuals.
The posts will be hosted in the Institute of Applied Health Research which has an international reputation for research directly informing healthcare and health research methodologies.
For further details on each post and to apply online please visit www.hr.bham.ac.uk/jobs
Applicants interested in more than one of the posts will need to apply for each separately.
Research Associate (NIHR Systematic Review Fellowship in Test Evaluation) – post 55512
This fellowship will focus on the application of systematic review methods to the evaluation of medical tests. Informal enquiries may be addressed to Dr Yemisi Takwoingi ([log in to unmask]).
Research Associate (NIHR Research Methods Fellowship in Systematic Reviews) – post 55532
This fellowship will focus on the application of systematic review methods to the broad range of research questions and issues in healthcare. Informal enquiries may be addressed to Dr David Moore ([log in to unmask]).
Research Associate (NIHR Research Methods Fellowship) – post 55511
This fellowship will focus on the design and analysis of the evaluation of tests for diagnosis, prognosis and/or monitoring. Informal enquiries may be addressed to Dr Susan Mallett ([log in to unmask]).